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Authentication Protocols and Building Authentication Sessions with Golang

The Authentication Session of a web app is the heart of its defense against malicious threats. Hence, it is among the first points of recon for a security tester. This article will discuss the authentication sessions of a web app in the “Go” programming language (Golang). It will also discuss the vulnerabilities and design flaws in authentication sessions, the difference

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Testing Your Code in Golang

Writing tests for a software application before moving it into production is an essential last step in the software delivery system. However, it is expedient that you know how to write highly maintainable unit tests if you are working with production-ready software up close. Tests reduce the possibility of producing software with bugs and vulnerabilities and making users happy. This

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Data Security: Importance, Spheres, and Best Practices

Data Security refers to practices employed in securing data from unauthorized tampering or corruption in an IT ecosystem. The entire digital world is run on data, and hence the statement, “data” is the new oil.” Data is in files, databases, accounts, and networks in forms like emails, passwords, texts, names, IDs, or electronic cash. We need to ensure the security

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Linear and Logistic Regression in Machine Learning

Logistic and Linear Regression are two fundamental statistical methods used for predictive modeling within the supervised machine learning framework. Regression analysis and classification are two of the most common approaches in machine learning. Linear regression is one of the primary and most fundamental tools for regression analysis. In contrast, Logistic regression is a fundamental tool for classification tasks in machine

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A Guide to Random Forest in Machine Learning

The Random Forest algorithm is a versatile and powerful tool capable of handling various data-driven challenges for machine learning. The concept of Random Forest took birth because of the need for simplicity and ensemble learning. In Layman’s terms, Ensemble Learning is stacking together a lot of classifiers to improve performance. What is a Random Forest? Random Forests is a Supervised

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A Guide to Artificial Narrow Intelligence (ANI)

Before we discuss Artificial Narrow Intelligence, let’s dive into this article; let’s quickly recap the definition of Artificial Intelligence: Artificial Intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that humans usually do as they require human intelligence. There are three types of Artificial Intelligence (AI): In this article, we will be going over

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Introduction to Decision Trees in Supervised Learning

The Decision Tree algorithm is a type of tree-based modeling under Supervised Machine Learning. Decision Trees are primarily used to solve classification problems (the algorithm, in this case, is called the Classification Tree), but they can also be used to solve regression problems (the algorithm, in this case, is called the Regression Tree). The concept of trees is found in

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Automation in Information Technology (IT)

Automation seems to be a buzzword these days. And when we talk about automation, we are talking about Information Technology. How can things be automated if it is not IT? IT Automation Of course, we can automate a few things mechanically, but not for processes. And the processes run businesses, not the machines. What then? Machines help us, but we,

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Cloud Computing 101: What Is It All About?

Cloud computing is a broad term that essentially refers to all processes involving delivering services hosted over the Internet. The three primary categories these services are divided into include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). A cloud computing system can be private or public. It is known as a private

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